{"id":"W4417447364","doi":"10.1007/978-3-032-15735-5_9","title":"Case Studies and Global Best Practices","year":2025,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Future Earth","funders":"","keywords":"Best practice; Financial literacy; Mental health; Organizational culture; Global health; Training (meteorology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01246999,0.0008639358,0.0007511245,0.004462962,0.005259677,0.01820387,0.002818225,0.004818305,0.02313988],"category_scores_gemma":[0.01619205,0.0004881988,0.00049131,0.009496602,0.0194793,0.0182083,0.009122439,0.004663765,0.002018391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007018259,"about_ca_system_score_gemma":0.004304312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004432671,"about_ca_topic_score_gemma":0.01055437,"domain_scores_codex":[0.9878928,0.008652806,0.0004406114,0.000675406,0.001647413,0.0006909515],"domain_scores_gemma":[0.9843463,0.0112303,0.000461262,0.002536328,0.0009340298,0.0004917235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009810797,0.00003497289,0.0002562083,0.0002062197,0.000008639027,0.0003731722,0.01500202,0.0004508587,0.00007222864,0.9032518,0.02612397,0.05421003],"study_design_scores_gemma":[0.00001014861,0.00001949513,0.0005422546,0.001312326,0.00001326725,0.0005934993,0.03630507,0.0004058724,0.0002034368,0.5008222,0.4597572,0.00001512464],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01324115,0.02517399,0.02418147,0.03764279,0.0006652408,0.00009113343,0.00009414978,0.0001887873,0.8987213],"genre_scores_gemma":[0.6082022,0.04349576,0.07678647,0.009743919,0.0006599973,0.0004685691,0.0005338723,0.000804831,0.2593043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02313988,"threshold_uncertainty_score":0.07741064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2727659862409819,"score_gpt":0.5515454724668166,"score_spread":0.2787794862258348,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}